Interactive visualization

The pipeline of physiological recording can often benefiit from interactive data visualization and exploration to guide data analysis. Systole include functions build on the top of Plotly (https://plotly.com/) for interactive data visualization and dashboard integration (https://plotly.com/dash/).

# Author: Nicolas Legrand <nicolas.legrand@cfin.au.dk>
# Licence: GPL v3

import plotly
from systole.detection import rr_artefacts
from systole import import_rr, import_ppg
from systole.plotly import plot_subspaces, plot_frequency, plot_raw,\
    plot_timedomain, plot_nonlinear

Raw data

ppg = import_ppg()[0]
plot_raw(ppg)

HRV analyses

rr = import_rr().rr.values

Frequency domain

plot1 = plot_timedomain(rr)
plotly.io.show(plot1)

Frequency domain

plot2 = plot_frequency(rr)
plotly.io.show(plot2)

Nonlinear domain

plot3 = plot_nonlinear(rr)
plotly.io.show(plot3)

Artefact detection

artefacts = rr_artefacts(rr)

Subspaces visualization

You can visualize the two main subspaces and spot outliers. The left pamel plot subspaces that are more sensitive to ectopic beats detection. The right panel plot subspaces that will be more sensitive to long or short beats, comprizing the extra and missed beats.

plot_subspaces(rr)